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  1. README.md +7 -7
README.md CHANGED
@@ -9,13 +9,13 @@ tags:
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  license: apache-2.0
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  instance_prompt: "Cuth123"
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  widget:
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- - text: "A futuristic cyberpunk city street drenched in neon rain, featuring a sleek metallic robotic cat with glowing circuitry, Cuth123, cinematic lighting."
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  output:
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  url: sample_0.png
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- - text: "An ancient overgrown jungle temple where a majestic golden phoenix rests atop a crumbling stone altar, Cuth123, ethereal sunlight filtering through leaves."
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  output:
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  url: sample_1.png
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- - text: "A surrealist floating island in a pastel nebula, with a giant grandfather clock melting over a velvet cliff, Cuth123, dreamlike oil painting style."
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  output:
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  url: sample_2.png
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  ---
@@ -34,15 +34,15 @@ Use the token `Cuth123` to invoke the concept.
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  ![sample](./sample_0.png)
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- > *"A futuristic cyberpunk city street drenched in neon rain, featuring a sleek metallic robotic cat with glowing circuitry, Cuth123, cinematic lighting."*
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  ![sample](./sample_1.png)
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- > *"An ancient overgrown jungle temple where a majestic golden phoenix rests atop a crumbling stone altar, Cuth123, ethereal sunlight filtering through leaves."*
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  ![sample](./sample_2.png)
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- > *"A surrealist floating island in a pastel nebula, with a giant grandfather clock melting over a velvet cliff, Cuth123, dreamlike oil painting style."*
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  ## Use it with diffusers
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@@ -52,6 +52,6 @@ from diffusers import Krea2Pipeline
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  pipe = Krea2Pipeline.from_pretrained("krea/Krea-2-Turbo", torch_dtype=torch.bfloat16).to("cuda")
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  pipe.load_lora_weights("Gimbor/cuth123")
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- image = pipe("A futuristic cyberpunk city street drenched in neon rain, featuring a sleek metallic robotic cat with glowing circuitry, Cuth123, cinematic lighting.", num_inference_steps=8, guidance_scale=0.0).images[0]
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  image.save("output.png")
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  ```
 
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  license: apache-2.0
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  instance_prompt: "Cuth123"
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  widget:
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+ - text: "A futuristic neon-drenched cyberpunk cityscape where a majestic golden lion with holographic wings stalks through the rain, Cuth123, cinematic lighting."
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  output:
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  url: sample_0.png
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+ - text: "A serene, sun-dappled ancient library with floating books and swirling stardust, featuring a majestic golden lion resting on a velvet rug, Cuth123, ethereal atmosphere."
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  output:
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  url: sample_1.png
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+ - text: "A vivid underwater coral kingdom with glowing jellyfish and iridescent fish surrounding a majestic golden lion swimming gracefully through the deep blue, Cuth123, hyper-realistic."
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  output:
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  url: sample_2.png
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  ---
 
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  ![sample](./sample_0.png)
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+ > *"A futuristic neon-drenched cyberpunk cityscape where a majestic golden lion with holographic wings stalks through the rain, Cuth123, cinematic lighting."*
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  ![sample](./sample_1.png)
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+ > *"A serene, sun-dappled ancient library with floating books and swirling stardust, featuring a majestic golden lion resting on a velvet rug, Cuth123, ethereal atmosphere."*
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  ![sample](./sample_2.png)
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+ > *"A vivid underwater coral kingdom with glowing jellyfish and iridescent fish surrounding a majestic golden lion swimming gracefully through the deep blue, Cuth123, hyper-realistic."*
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  ## Use it with diffusers
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  pipe = Krea2Pipeline.from_pretrained("krea/Krea-2-Turbo", torch_dtype=torch.bfloat16).to("cuda")
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  pipe.load_lora_weights("Gimbor/cuth123")
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+ image = pipe("A futuristic neon-drenched cyberpunk cityscape where a majestic golden lion with holographic wings stalks through the rain, Cuth123, cinematic lighting.", num_inference_steps=8, guidance_scale=0.0).images[0]
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  image.save("output.png")
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  ```